Bayesian Learning

Bayesian Optimization with Unknown Search Space NeurIPS 2019 Bayesian Optimized 1-Bit CNNs ICCV 2019 Bayesian Parameter Estimation for Nonlinear Dynamics Using Sensitivity Analysis IJCAI 2019 Bayesian Relational Memory for Semantic Visual Navigation ICCV 2019 BayesNAS: A Bayesian Approach for Neural Architecture Search ICML 2019 BayesSim: Adaptive Domain Randomization Via Probabilistic Inference for Robotics Simulators RSS 2019 BeamSeg: A Joint Model for Multi-Document Segmentation and Topic Identification CoNLL 2019 Bias-Variance Trade-Off in Hierarchical Probabilistic Models Using Higher-Order Feature Interactions AAAI 2019 Bidirectional Inference Networks:A Class of Deep Bayesian Networks for Health Profiling AAAI 2019 Calibrating Deep Convolutional Gaussian Processes AISTATS 2019 Chasing Ghosts: Instruction Following as Bayesian State Tracking NeurIPS 2019 Combinatorial Bayesian Optimization using the Graph Cartesian Product NeurIPS 2019 Communication-Efficient Stochastic Gradient MCMC for Neural Networks AAAI 2019 Compiling Bayesian Network Classifiers into Decision Graphs AAAI 2019 Conditional Independence in Testing Bayesian Networks ICML 2019 Correlation Priors for Reinforcement Learning NeurIPS 2019 Cost Effective Active Search NeurIPS 2019 Covariate-Powered Empirical Bayes Estimation NeurIPS 2019 Curious iLQR: Resolving Uncertainty in Model-based RL CoRL 2019 Cutset Bayesian Networks: A New Representation for Learning Rao-Blackwellised Graphical Models IJCAI 2019 Debiased Bayesian inference for average treatment effects NeurIPS 2019 Deep Bayesian Trust: A Dominant and Fair Incentive Mechanism for Crowd AAAI 2019 Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control IJCAI 2019 Differentially Private Bayesian Linear Regression NeurIPS 2019 Dirichlet Simplex Nest and Geometric Inference ICML 2019